Ransomware detection using machine learning: A survey

A Alraizza, A Algarni - Big Data and Cognitive Computing, 2023 - mdpi.com
Ransomware attacks pose significant security threats to personal and corporate data and
information. The owners of computer-based resources suffer from verification and privacy …

A new scheme for ransomware classification and clustering using static features

B Yamany, MS Elsayed, AD Jurcut, N Abdelbaki… - Electronics, 2022 - mdpi.com
Ransomware is a strain of malware that disables access to the user's resources after
infiltrating a victim's system. Ransomware is one of the most dangerous malware …

It's more than just money: The real-world harms from ransomware attacks

N Pattnaik, JRC Nurse, S Turner, G Mott… - … Symposium on Human …, 2023 - Springer
As cyber-attacks continue to increase in frequency and sophistication, organisations must be
better prepared to face the reality of an incident. Any organisational plan that intends to be …

Advance model for ransomware attacking data classification and prediction using ai

VR Kumbhar, AP Shende, Y Raut - 2023 1st International …, 2023 - ieeexplore.ieee.org
In the past few years, ransomware attacks have grown quickly and become a huge security
problem for businesses of all sizes, governments, and internet users. Ransomware attacks …

Detection of Ransomware Attack Using Deep Learning

M Jemal, DCT Lo - 2023 IEEE Conference on Dependable and …, 2023 - ieeexplore.ieee.org
The number one threat to the digital world is the exponential increase in ransomware
attacks. Ransomware is malware that prevents victims from accessing their resources by …

A Framework for Infusing Cybersecurity Programs With Real-World Artificial Intelligence Education

JE DeBello, E Troja, LM Truong - 2023 IEEE Global …, 2023 - ieeexplore.ieee.org
Cybersecurity has become ubiquitous with the exponential growth of consumer applications
and Internet of Things (IoT) devices. It is a discipline which intersects other important …

Modelo para mapeamento de ameaças cibernéticas

RCR Melo - 2024 - icts.unb.br
Os conflitos travados entre grandes corporações e governos, iniciados nos tradicionais
universos de disputas comerciais, políticas e ideológicas, foram carreados para o Campo …

A COMPREHENSIVE REVIEW ON MACHINE LEARNING TECHNIQUES FOR THE IDENTIFICATION OF RANSOMWARE ATTACKS IN COMPUTER NETWORKS

OM AYINLA, AM OYELAKIN… - … OF COMPUTING AND …, 2024 - laujci.lautech.edu.ng
Ransomware attacks have been identified as one of the serious threats in the cyber space.
The malware poses serious security challenges to corporate networks and internet users …